Title :
Comparison of Citrus fruit diseases revealing with Data Mining and Image Processing Techniques based on assorted parameters
Author :
Devi, M. Renuka ; Kavitha, V.
Author_Institution :
SNS Coll. of Technol., Coimbatore, India
Abstract :
Machine vision has become a key technology in the area of quality control. “Vision systems” is primarily focused on computer vision in the context of inspection of the products such as food, pharmaceuticals. The system can consist of a number of cameras all capturing, interpreting and signaling individually with a control system related to some predefined algorithms. The analysis of citrus fruits using various assorted parameters revealing the diseases afflicting Citrus fruits and isolation of the same using Image Processing and Data Mining Techniques is the core area discussed here with.
Keywords :
agricultural products; computer vision; data mining; inspection; citrus fruit diseases; computer vision; data mining; image processing techniques; machine vision; product inspection; Accuracy; Diseases; Image color analysis; Lesions; Machine vision; Shape; Citrus Fruit; Computer Vision; Data Mining; Image Processing; Machine Vision;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6804-6
DOI :
10.1109/ICCCI.2015.7218107
